Guangdong University of Technology

Chinese Academy of Sciences

Guangzhou Imd Therapeutics Co., Ltd.

Yong Xu

Renquan Lu

Hongxia Rao

Chang Liu

Jie Tao

Yan Zhang

Hui Peng

Xiaoqian Xue

Rui Wang

Xiaoyu Luo

Xishan Wu

Yudan Shi

Yongmin Luo

Hui Chen

Jianhong Weng

Ming Song

Zijie Chen

Yuru Guo

Ming Lin

Ye Kuang

Provided are a benzidine compound and an application thereof, the benzidine compound having the structure as shown in formula I below. Further provided are a pharmaceutically acceptable salt, isomer, racemate, prodrug co-crystal complex, hydrate, and solvate of the compound, as well as an application thereof in the preparation of a drug for the treatment or prevention of RORγ-regulated diseases; more importantly, such a compound can also be used in the preparation of a drug for the treatment of inflammation, immune diseases, cancer and neurological diseases.

Benzidine compound and application thereof

The present invention provides a pose estimation method for an unmanned aerial vehicle based on point, line and plane feature fusion, the method comprises the following steps: S1 extracting an RGB image and a depth map by using an RGB-D camera; S2 constructing a plane parameter space (PPS) according to the depth map, and mapping the depth map from a Cartesian space to the plane parameter space (PPS); S3 constructing an inverse octree structure, comprising: reversely constructing cell nodes for the plane parameter space (PPS) according to an octree rule, and for each cell node, performing fitting by using Gaussian distribution; S4 extracting a plane feature, comprising: extracting the plane feature on the basis of degree of feature extraction algorithm of the inverse octree; S5 extracting a linear feature, comprising: extracting a linear feature on the RGB image by using LSD algorithm detection.

Pose estimation method for unmanned aerial vehicle based on point line and plane feature fusion

The present invention discloses a cloud-edge-end cooperative control method of a 5G networked UAV for security rescue, including: an image acquisition step: performing, by a single-chip microcomputer, attitude resolution on data acquired by a detection sensor, to obtain image data; a sparse landmark map building step: performing, by a control platform, front-end feature point matching, local map building and optimization, loopback detection, and frame resolution on the image data, to generate a sparse landmark map; a three-dimensional dense map building step: generating, by an edge cloud, a three-dimensional dense map based on a key frame pose and key frame observation data of the sparse landmark map; a high-precision semantic map building step: obtaining a high-precision semantic map; and a UAV movement step: adjusting, by the driving mechanism, a pose of the UAV according to the three-dimensional dense map or the high-precision semantic map.

Cloud-edge-end cooperative control method of 5G networked unmanned aerial vehicle for security rescue

A landing tracking control method comprises the following contents: a tracking model training stage and an unmanned aerial vehicle real-time tracking stage. The landing tracking control method extracts a network Snet by using a lightweight feature and makes modification, so that an extraction speed of the feature is increased to better meet a real-time requirement. Weight allocation on the importance of channel information is carried out to differentiate effective features more purposefully and utilize the features, so that the tracking precision is improved. In order to improve a training effect of the network, a loss function of an RPN network is optimized, a regression precision of a target frame is measured by using CIOU, and meanwhile, calculation of classified loss function is adjusted according to CIOU, and a relation between a regression network and classification network is enhanced.

Landing tracking control method and system based on lightweight twin network and unmanned aerial vehicle

A nearshore real-time positioning and mapping method for an unmanned surface vehicle with multiple distance measuring sensors comprises: acquiring predicted gesture data of the unmanned surface vehicle by an inertia measurement unit; acquiring radar point cloud data by a laser radar, projecting the radar point cloud data to a depth map, and reserving ground points and break points on the depth map; dividing the depth map into six sub depth maps, obtaining a feature point set via a curvature of each laser point, and converting all the feature point sets of the laser radar into coordinates of the unmanned surface vehicle; obtaining a relative gesture transformation matrix of the current unmanned surface vehicle via the radar cloud point data of two adjacent frames; accruing multiple factors, and optimizing a gesture of the unmanned surface vehicle in form of a factor pattern; and constructing a three-dimensional cloud point pattern.

Nearshore real-time positioning and mapping method for unmanned surface vehicle with multiple distance measuring sensors

The present invention relates to the technical field of medicinal chemistry, and in particular discloses a 2-oxo-1,2-dihydrobenzo[cd]indole compound and use thereof. The compound and pharmaceutically acceptable salt, isomer, racemate, prodrug, co-crystallized complex, hydrate, and solvate thereof can effectively inhibit the BET bromodomain receptor, and can be used for preparing a medicine for treating cancers, cell proliferative disorders, inflammatory diseases, and autoimmune disorders, sepsis, and viral infections.

2-oxo-1,2-dihydrobenzo[cd]indole compound and use thereof

Growing community of inventors

Guangzhou, China

Yong Xu